The ECE Department welcomesProf. Ness Shroff, Chaired Professor of ECE and CSE at The Ohio State University.

Shroff will present a talk entitled "TBA" on Wednesday, May 22 at 2:00 PM in the Ford ITW Auditorium.

Abstract: TBA

Bio: Prof. Ness Shroff received his Ph.D. degree from Columbia University, NY in 1994 and joined Purdue university immediately thereafter as an Assistant Professor. At Purdue, he became Professor of the school of Electrical and Computer Engineering and director of CWSA in 2004, a university-wide center on wireless systems and applications. In July 2007, he joined the ECE and CSE departments at The Ohio State University, where he holds the Ohio Eminent Scholar Chaired Professorship of Networking and Communications. From 2009-2012, he also served as a Guest Chaired professor of Wireless Communications at Tsinghua University, Beijing, China, and currently holds an honorary Guest professor at Shanghai Jiaotong University in China and visiting position at the Indian Institute of Technology, Bombay.

Dr. Shroff's research interests span the areas of communication, networking, storage, cloud, recommender, social, and cyberphysical systems. He is especially interested in fundamental problems in learning, design, control, performance, pricing, and security of these complex systems. He currently serves as editor-at-large in the IEEE/ACM Trans. on Networking, and as senior editor of the IEEE Transactions on Control of Networked Systems. He also serves on the editorial boards of the IEEE Network Magazine, and the Network Science journal. He has served on the technical and executive committees of several major conferences and workshops. For example, he was the technical program co-chair of IEEE INFOCOM'03, the premier conference in communication networking, the technical program co-chair of ACM Mobihoc 2008, the General co-chair of WICON'08, and the conference chair of IEEE CCW'99. He has served as a keynote speaker and panelist on several major conferences in these fields. Dr. Shroff was also a co-organizer of the NSF workshop on Fundamental Research in Networking in 2003, and the NSF workshop on the Future of Wireless Networks in 2009.

Dr. Shroff is a Fellow of the IEEE, and a National Science Foundation CAREER awardee. His papers have received numerous awards at top-tier venues. For example, he received the best paper award at IEEE INFOCOM 2006, IEEE INFOCOM 2008, and IEEE INFOCOM 2016, the best paper of the year in the journal of Communication and Networking (2005) and in Computer Networks (2003). He also also received runner-up awards at IEEE INFOCOM 2005 and IEEE INFOCOM 2013. In addition, his papers have received the best student paper award (from all papers whose first author is a student) at ACM Sigmetrics 2017, IEEE WiOPT 2013, IEEE WiOPT 2012, and IEEE IWQoS 2006. Dr. Shroff is on the list of highly cited researchers from Thomson Reuters ISI (previously ISI web of Science) in 2014 and 2015, and in Thomson Reuters Book on The World's Most Influential Scientific Minds in 2014. He received the IEEE INFOCOM achievement award for seminal contributions to scheduling and resource allocation in wireless networks, in 2014.

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Join Northwestern Engineering for the 2018-19 seminar series featuring lunchtime presentations by faculty from outside the McCormick School of Engineering and Applied Science. Broaden your horizons by listening to speakers from disciplines such as theatre, economics, law, and philosophy.

It is well known that physical phenomena may be of great help in computing some difficult problems efficiently. A typical example is prime factorization that may be solved in polynomial time by exploiting quantum entanglement on a quantum computer. There are, however, other types of (non-quantum) physical properties that one may leverage to compute efficiently a wide range of hard problems. In this talk, I will discuss how to employ one such property, memory (time non-locality), in a novel physics-based approach to computation: Memcomputing. As examples, I will show the polynomial-time solution of prime factorization, the search version of the subset-sum problem, and approximations to the Max-SAT beyond the inapproximability gap using polynomial resources and self-organizing logic gates, namely gates that self-organize to satisfy their logical proposition. I will also show that these machines are robust against noise and disorder. The digital memcomputing machines we propose can be efficiently simulated, are scalable and can be easily realized with available nanotechnology components. Work supported in part by MemComputing, Inc. (http://memcpu.com/) and CMRR.

Massimiliano Di Ventra obtained his undergraduate degree in Physics summa cum laude from the University of Trieste (Italy) in 1991 and did his PhD studies at the Ecole Polytechnique Federale de Lausanne (Switzerland) in 1993-1997. He is now professor of Physics at the University of Californian, San Diego. Di Ventra's research interests are in the theory of quantum transport in nanoscale systems, non-equilibrium statistical mechanics, DNA sequencing/polymer dynamics in nanopores, and memory effects in nanostructures for applications in unconventional computing and biophysics. He is the author of more than 200 scientific publications, three textbooks, and holds four U.S. patents. He has delivered more than 300 invited talks worldwide on his research.